Dataset Versions
v3
2024-11-22 11:52am
Generated on Nov 22, 2024
350 Total Images
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Dataset Split
Train Set 87%
306Images
Valid Set 8%
29Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels